Goncharov Konstantin Aleksandrovich (Postgraduate student, department of machine learning and data analysis
Financial University under the Government of Russian Federation
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In modern conditions with a dynamically developing sphere of information technologies of artificial intelligence, the organization is able to significantly strengthen its position in the market and significantly optimize internal processes by implementing information systems of the corresponding direction. The ability of the automated information system to process fuzzy data and work with fuzzy logic allows us to safely classify this system as an artificial intelligence system, since human thought activity and the process of cognition are rarely associated with clear definitions of the boundaries of truth and clear data. The apparatus of multi-criteria analysis of alternatives can be used as the mathematical core of the automated intelligent system - a universal mechanism that allows you to mathematically calculate and justify the advantages of one solution or choice over another. The use of the mathematical apparatus of multi-criteria analysis of alternatives allows us to classify the automated system as a decision support system. Accordingly, the ability to process fuzzy information in the decision support system can maximally imitate the decision-making process by a person responsible for making a management decision. This article analyzes the possibility of using automated tools for processing and analyzing fuzzy information when solving problems of multi-criteria analysis of alternatives.
Keywords:Fuzzy information, multicriteria analysis, membership function, automated systems, artificial intelligence, ANFIS
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Citation link:
Goncharov K. A. PROCESSING OF FUZZY DATA IN AUTOMATED SYSTEMS FOR SOLVING PROBLEMS OF MULTICRITERIAL ANALYSIS OF ALTERNATIVES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04. -С. 68-71 DOI 10.37882/2223-2966.2025.04.09 |
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